Generated banner for Dynamo Recipe Runner
Generated logo for Dynamo Recipe Runner

Dynamo Recipe Runner

NVIDIAOfficialCreated by Dan GilDistributed by NVIDIA

  • Skill
  • Workflow
  • Cloud and DevOps
  • Apache-2.0
  • Medium risk
  • Has scripts

From the author

Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.
— the description by Dan Gil

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Dynamo Recipe Runner streamlines the bring-up of model deployments on Kubernetes by leveraging existing recipe manifests. It provides a structured workflow to discover, validate, and patch configuration files before deploying them to a cluster. The skill ensures that model-cache jobs and deployment manifests are correctly configured, handles common blockers like storage classes and secret management, and performs a basic smoke test to verify the endpoint is operational.

What it does

  • Lists and filters available Dynamo recipes based on model, framework, and deployment mode.
  • Validates recipe manifests for common configuration errors before deployment.
  • Patches essential values such as storage classes, image tags, and resource requests.
  • Automates the deployment sequence including model-cache jobs and graph deployments.
  • Performs smoke tests to verify model availability and endpoint health.
  • Provides troubleshooting guidance for common Kubernetes deployment failures.

When to use it

  • When you need to deploy a specific model recipe onto a Kubernetes cluster.
  • When you need to validate that a recipe's configuration is compatible with your cluster environment.
  • When you need to quickly bring up a backend or GPU-accelerated deployment.
  • When you need to troubleshoot why a specific Dynamo deployment is failing to reach a healthy state.

Advantages

  • Reduces manual effort by automating the multi-step deployment process.
  • Ensures consistency by using standardized, existing recipe manifests.
  • Provides clear validation steps to catch configuration issues early.
  • Simplifies the integration of model-cache and deployment manifests.
  • Offers a reliable path from user intent to a functional model endpoint.

Usage examples

“List all available sglang recipes for the Dynamo framework.”
The agent will execute the recipe tool to display a table of sglang-compatible recipes.
“Validate the nemotron-3-super-fp8 recipe for aggregation mode.”
The agent will run the validation script on the specified recipe path and report any missing requirements or blockers.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/nvidia/dynamo-recipe-runner/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip dynamo-recipe-runner.zip -d .agents/skills

Documentation by Dan Gil

Dynamo Recipe Runner

<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. SPDX-License-Identifier: CC-BY-4.0 -->

Purpose

Get from user intent to a working Dynamo recipe endpoint with minimal back and forth. Do not create new guide content. Operate on the existing recipes/ tree, patch the smallest necessary set of manifests, deploy when the user has cluster access, and prove success with an OpenAI-compatible smoke request.

Prerequisites

  • Python 3.10+ on the operator machine.

  • kubectl configured with a working cluster context.

  • Cluster has a default storage class for model-cache PVCs.

  • Hugging Face token stored in a Kubernetes secret named hf-token-secret (or equivalent) in the target namespace.

  • Read access to the recipes/ tree in the ai-dynamo/dynamo repository.

Required Inputs

Collect or infer these before changing manifests:

  • recipe target: model, framework (vllm, sglang, trtllm, tokenspeed), deployment mode, and GPU type/count

  • Kubernetes context and namespace

  • Hugging Face secret name, usually hf-token-secret

  • storage class for model cache PVCs

  • runtime image tag if the recipe uses a placeholder or stale test image

  • whether to run commands or only produce exact commands

If a required value is missing and cannot be inferred from the selected recipe, ask for only that value.

Instructions

1. Preflight

Run read-only checks first:

git status --short
python3 scripts/recipe_tool.py list --format table
kubectl config current-context
kubectl get storageclass
kubectl get nodes -o wide
kubectl get namespace "${NAMESPACE}"
kubectl get secret hf-token-secret -n "${NAMESPACE}"

If kubectl is unavailable or the cluster is unreachable, continue by selecting and validating the recipe, then return exact commands instead of pretending the deployment ran.

2. Select The Recipe

Use the recipe matrix from recipes/README.md and the scanner:

python3 scripts/recipe_tool.py list \
  --query qwen --framework vllm --mode disagg --format table

Prefer an exact existing recipe. Do not invent new manifests unless the user explicitly asks to author a new recipe.

3. Inspect And Validate

Read the selected recipe README, model-cache manifests, deploy.yaml, and perf.yaml if present. Then run:

python3 scripts/recipe_tool.py validate \
  recipes/<model>/<framework>/<mode>

Resolve reported blockers before applying manifests: storage class, model cache PVC, image tag, HF token secret, GPU count, frontend service name, and router mode.

4. Patch Minimal Values

Patch only recipe-specific values needed for this run. Do not reformat whole YAML files. Common patches:

  • storageClassName

  • image repository/tag

  • model path or model cache mount path

  • GPU resource requests/limits

  • frontend DYN_ROUTER_MODE

  • namespace only when a manifest hardcodes it

Never write Hugging Face tokens into files or logs. Use Kubernetes secrets.

5. Deploy

Follow the selected recipe README when it differs from the default sequence. The default sequence is:

kubectl apply -f recipes/<model>/model-cache/ -n "${NAMESPACE}"
kubectl wait --for=condition=Complete job/model-download -n "${NAMESPACE}" --timeout=6000s
kubectl apply -f recipes/<model>/<framework>/<mode>/deploy.yaml -n "${NAMESPACE}"
kubectl get dynamographdeployment -n "${NAMESPACE}"
kubectl get pods -n "${NAMESPACE}" -o wide

Wait for the frontend and workers to be ready before testing.

6. Smoke Test

Port-forward the frontend service, then verify /v1/models and one chat completion:

kubectl port-forward svc/<deployment-name>-frontend 8000:8000 -n "${NAMESPACE}"
curl http://127.0.0.1:8000/v1/models

If dynamo-router-starter is also installed, prefer its scripts/check_router_health.py for the full OpenAI-compatible smoke test. If this fails, switch to dynamo-troubleshoot.

Available Scripts

ScriptPurposeArguments
scripts/recipe_tool.py listEnumerate available recipes, optionally filtered--query, --framework, --mode, --format
scripts/recipe_tool.py validateValidate a recipe directory before applypositional recipe path

Invoke via the agentskills.io run_script() protocol:

run_script("scripts/recipe_tool.py", args=["list", "--framework", "sglang", "--format", "table"])
run_script("scripts/recipe_tool.py", args=["validate", "recipes/nemotron-3-super-fp8/sglang/agg"])

Examples

List sglang recipes that fit a single 8xB200 node:

python3 scripts/recipe_tool.py list --framework sglang --format table

Validate a specific recipe and resolve blockers before applying:

python3 scripts/recipe_tool.py validate recipes/nemotron-3-super-fp8/sglang/agg

Equivalent through the agent protocol:

run_script("scripts/recipe_tool.py", args=["validate", "recipes/nemotron-3-super-fp8/sglang/agg"])

Output Contract

Return:

  • selected recipe path and why it was selected

  • exact values patched

  • commands run or commands to run

  • endpoint and smoke-test result

  • unresolved blockers, if any

  • next troubleshooting step when deployment does not become healthy

Limitations

  • Operates on the existing recipes/ tree only. Does not author new manifests.

  • Cluster-mutating apply steps require kubectl permission to the target namespace.

  • Smoke-test depth is intentionally minimal; for full router/endpoint coverage use dynamo-router-starter.

  • Multi-node disagg transport correctness is out of scope; use dynamo-interconnect-check after deploy.

Troubleshooting

SymptomLikely causeNext step
kubectl cluster unreachableContext not set or VPN downReturn exact commands instead of running them; resume when cluster is reachable
validate reports missing storage classCluster has no default StorageClassPatch storageClassName on the model-cache manifest before applying
Model-cache job stuck PendingPVC unbound or HF secret missingInspect PVC events; create or rename the HF secret to match the recipe
Worker pods ImagePullBackOffStale image tag or missing pull secretPatch the image tag; verify image pull secret in the namespace
/v1/models 4xx/5xx after deployFrontend not ready or wrong service portWait for pods Ready; re-run port-forward; switch to dynamo-troubleshoot if it persists

Benchmark

See BENCHMARK.md for the NVCARPS-EVAL performance report (auto-generated by the NVSkills CI pipeline). To refresh, re-run /nvskills-ci on an upstream PR touching this skill.

References

  • Read references/k8s-recipe-workflow.md for command templates and readiness checks.

  • Use scripts/recipe_tool.py for recipe discovery and lightweight validation.

Files

LICENSE

Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.


                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including
      the original version of the Work and any modifications or additions
      to that Work or Derivative Works thereof, that is intentionally
      submitted to Licensor for inclusion in the Work by the copyright owner
      or by an individual or Legal Entity authorized to submit on behalf of
      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the
      Licensor for the purpose of discussing and improving the Work, but
      excluding communication that is conspicuously marked or otherwise
      designated in writing by the copyright owner as "Not a Contribution."

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   3. Grant of Patent License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the
      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

      (a) You must give any other recipients of the Work or
          Derivative Works a copy of this License; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or
          documentation, if provided along with the Derivative Works; or,
          within a display generated by the Derivative Works, if and
          wherever such third-party notices normally appear. The contents
          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions
      for use, reproduction, or distribution of Your modifications, or
      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
      Notwithstanding the above, nothing herein shall supersede or modify
      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

   7. Disclaimer of Warranty. Unless required by applicable law or
      agreed to in writing, Licensor provides the Work (and each
      Contributor provides its Contributions) on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
      implied, including, without limitation, any warranties or conditions
      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs network access, Needs a command-line tool, Needs Python, Needs Node.js

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Dan Gil
Publisher
NVIDIA (Official)
Distributed by
NVIDIA
Source
NVIDIA/skills · skills/dynamo-recipe-runner · commit fce3cca
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE-APACHE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Dan Gil or NVIDIA.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download dynamo-recipe-runner.zip